ArticleExploration (Beijing, China)2023
Visual genetic typing of glioma using proximity-anchored in situ spectral coding amplification.
Article in Exploration (Beijing, China), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- In situ imaging of proximal biomolecules via Proximity Anchored Modules Assembly.Journal of nanobiotechnology · 2026Article
- Tumor-Mimic Artificial Cell Integrated With In Situ Synthetic Biology for Testing of Antitumor Drug Sensitivity.Exploration (Beijing, China) · 2026Article
- Single-cell analysis identifies a VIM+ glioma stem-like vascular-immune state linked to myeloid OSM signaling and CEBPD activity.Frontiers in immunology · 2026Article
- Integrative single-cell analysis revealsFrontiers in immunology · 2026Article
- Molecular design and excited state dynamics regulation in phototheranostics.Biophysics reports · 2025Article
- Review
- Identification and clinical validation of diverse cell-death patterns-associated prognostic features among low-grade gliomas.Scientific reports · 2024Article
- Leveraging FAM features to predict the prognosis of LGG patients and immunotherapy outcome.American journal of cancer research · 2024Article
- Visual genetic typing of glioma using proximity-anchored in situ spectral coding amplification.Exploration (Beijing, China) · 2023Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gliomas are histologically and genetically heterogeneous tumors. However, classical histopathological typing often ignores the high heterogeneity of tumors and thus cannot meet the requirements of precise pathological diagnosis. Here, proximity-anchored in situ spectral coding amplification (ProxISCA) is proposed for multiplexed imaging of RNA mutations, enabling visual typing of brain gliomas with different pathological grades at the single-cell and tissue levels. The ligation-based padlock probe can discriminate one-nucleotide variations, and the design of proximity primers enables the anchoring of amplicons on target RNA, thus improving localization accuracy. The DNA module-based spectral coding strategy can dramatically improve the multiplexing capacity for imaging RNA mutations through one-time labelling, with low cost and simple operation. One-target-one-amplicon amplification confers ProxISCA the ability to quantify RNA mutation copy number with single-molecule resolution. Based on this approach, it is found that gliomas with higher malignant grades express more genes with high correlation at the cellular and tissue levels and show greater cellular heterogeneity. ProxISCA provides a tool for glioma research and precise diagnosis, which can reveal the relationship between cellular heterogeneity and glioma occurrence or development and assist in pathological prognosis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.